378 Best production engineer Jobs in United Kingdom (August 2025)

At Bake + Brew, we’re more than a bakery café — we’re a space that celebrates the craft of baking, exceptional coffee, matchas and vibrant hospitality. From flaky croissants to signature cakes, spuds and freshly baked sourdough, our products reflect our passion for quality and creativity. As we grow, we’re looking for a dynamic and driven Bakery Manager to lead our front and back-of-house teams, ensuring daily excellence and long-term development. The Role This is a hands-on management role where you will take ownership of the daily operations, people management, quality control, and customer experience. You’ll lead a team of bakers, baristas, and service staff, ensuring a smooth and efficient operation while maintaining Bake + Brew’s high standards. Key Responsibilities • Manage day-to-day operations of the bakery café, including opening/closing procedures, stock control, and rota planning., • Ensure the consistent quality of baked goods, presentation, and service., • Oversee production schedules, food safety, allergen compliance, and kitchen efficiency., • Train, develop, and motivate team members, creating a positive and performance-driven culture., • Monitor KPIs including labour cost, wastage, and customer satisfaction., • Support with seasonal menu planning and new product launches., • Handle customer feedback with professionalism, turning challenges into opportunities. What We’re Looking For • Minimum 2 years’ experience in a bakery, café, or food retail management role., • Strong leadership skills with a collaborative, can-do attitude., • Knowledge of baking and food production processes (you don’t need to be a baker, but must understand quality)., • Excellent communication, planning, and team-building abilities., • Familiarity with food safety, HACCP, allergen laws, and health & safety compliance., • Commercial acumen and experience managing budgets, rotas, and suppliers., • A love of good coffee, pastries, matchas and creating memorable customer experiences. What We Offer • Competitive salary based on experience Staff discounts on food, drink, and retail items • Opportunities for progression as we expand, • A creative and supportive working environment, • Training and development opportunities

About Luupli Luupli is a social media app that has equity, diversity, and equality at its heart. We believe that social media can be a force for good, and we are committed to creating a platform that maximizes the value that creators and businesses can gain from it, while making a positive impact on society and the planet. Our app is currently in Beta Test, and we are excited about the possibilities it presents. Our team is made up of passionate and dedicated individuals who are committed to making Luupli a success. Job Description As an AI Engineer at Luupli, you will play a pivotal role in developing intelligent systems and orchestrating agentic workflows that power Luupli’s AI features. Your work will span Retrieval-Augmented Generation (RAG), multi-agent LLM orchestration, auto-captioning, generative media, and content moderation. You’ll use frameworks like LangGraph, LangChain, and Google’s Agent Development Kit to build persistent, scalable AI services on Google Cloud Platform (GCP). This is a full-stack AI role that spans intelligent backend APIs, LLM agent orchestration, and integration with product-facing features. Responsibilities Build and deploy multi-agent AI workflows using LangGraph, LangChain, or Google’s Agent Development Kit. Implement RAG pipelines using embeddings, semantic chunking, and vector databases (e.g., FAISS, Pinecone, Weaviate). Integrate hosted and open-source LLMs (OpenAI, Gemini, Claude, Ollama, Mistral) into intelligent systems. Build REST APIs with FastAPI and internal tools with Streamlit to expose AI functionality. Deploy production-grade services on GCP using Vertex AI, Cloud Run, Cloud Functions, IAM, and Pub/Sub. Embed AI into platform features such as auto-captioning, LuupForge (generative studio), feed personalization, and real-time moderation. Maintain modular, testable, observable, and secure code across the AI system lifecycle. Requirements 3+ years experience in applied AI/ML engineering (production-level deployments, not research-only). Strong Python development skills with full-stack AI engineering experience: FastAPI, Streamlit LangGraph, LangChain, or similar PyTorch, Transformers FAISS, Weaviate, or Pinecone Solid experience working with hosted APIs (OpenAI, Gemini) and self-hosted models (Mistral, Ollama, LLaMA). Deep understanding of LLM orchestration, agent tool-use, memory sharing, and prompt engineering. Hands-on experience with Google Cloud Platform (GCP); especially Vertex AI, Cloud Functions, Cloud Run, and Pub/Sub. Familiarity with best practices in cloud-based software development: containerization, CI/CD, testing, monitoring. Nice to Have Experience with Google’s Agent Development Kit or similar agent ecosystems. Familiarity with multimodal AI (e.g., handling text, image, audio, or video content). Prior experience developing creator platforms, content recommendation engines, or social media analytics. Understanding of ethical AI principles, data privacy, and bias mitigation. Experience with observability tools (e.g., Sentry, OpenTelemetry, Datadog). Data engineering experience, such as: Building ETL/ELT pipelines Working with event-based ingestion and structured logs (e.g., user sessions, reactions, feeds) Using tools like BigQuery, Airflow, or dbt Designing or consuming feature stores for AI/ML applications Compensation This is an equity-only position, offering a unique opportunity to gain a stake in a rapidly growing company and contribute directly to its success. As part of your cover letter, please respond to the following questions: This position is structured on an equity-only basis. Thus, it is presently unpaid until we secure seed funding. Given this structure, are you comfortable continuing with your application for this role? Have you built or contributed to agent-based AI systems using frameworks like LangGraph, LangChain, or Google’s Agent Development Kit? Do you have experience with Retrieval-Augmented Generation (RAG) systems and vector databases (e.g., FAISS, Pinecone, Weaviate)? Have you deployed AI systems on Google Cloud Platform? If not, which cloud platforms have you used and how? Have you integrated LLMs (e.g., OpenAI, Gemini, Claude) into autonomous or multi-step workflows? Can you explain how agents collaborate and maintain memory across tasked in multi-agent systems? What is your experience with prompt engineering, tool invocation, and orchestrated LLM workflows? Do you have any public code repositories (e.g., GitHub), demo URLs, or project write-ups showcasing your work?

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Finpaytech ltd

Chief Technology Officer (CTO)

1 month ago

£100000–£120000 yearly

Full-time

London

We are seeking an exceptional Chief Technology Officer (CTO) to lead their engineering and product development. This is an exciting new role, joining a thriving FinTech innovator that is a Principal Member of major card schemes, specializing in card issuing, merchant acquiring, and cutting-edge payment solutions. You'll be instrumental in shaping the technological future of a company that is empowering businesses globally to manage and grow their payment ecosystems. This is a busy and fast-paced role. We are seeking candidates with strong programming skills, who are hungry and ready to get stuck in, who want to be a KEY PLAYER within the development of a rapidly growing payments company.

The GAO Group is headquartered in NYC, USA, and Toronto, Canada, and its member companies are incorporated in both USA & Canada, and its member companies are leading suppliers of advanced electronics and network products for engineers worldwide. Location : Remote Job Description: · Recruit and source candidates: Job boards, social media, headhunting · Post job openings on various recruitment platforms and university portals. · Screen resumes and applications · Schedule interviews for senior HR staff · Manage communication through emails and LinkedIn with applicants and follow up with the candidates. Requirements: · You are studying for or shall have a University degree in HR, Journalism, Business, Arts, or any programs providing strong English language training or candidates with strong English language skills. · You shall be keen to learn, willing to work hard, maintain productivity, and be committed to the job. · You shall have chosen HR as your desired career and are strongly interested in an intern opportunity related to HR. Benefits of this Internship Include: · You gain real-world work experience at an internationally reputable high-tech company; · Learn real-world knowledge, work ethics, team spirits; • Receive 3 certificates, and · It is short & convenient: you can work from anywhere, which makes you much more employable and competitive in the job market.

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Quant.ai

Agentic AI Consultant

Location - Oval, South London (Onsite) Type - Full-Time Start Day - Immediate Salary - £30,000 - £35,000 (top end reserved for outstanding candidates) Headquarters - New York, NY, USA About Quant.ai Quant.ai is building the world’s most advanced Agentic AI – transforming customer service, outbound engagement, and internal decision-making for global enterprises. Our technology helps clients reduce inbound volume, improve response times, and deliver futuristic digital experiences powered by human-like AI. We’re now opening a new office in Oval, South London, and we're looking for our first wave of AI-enhanced customer service reps to help us scale. The existing team in London is small but mighty – 5 people aged 24-27 – and we’re building a collaborative, fast-moving culture where you’ll grow quickly. Our global team (75+) is led by Chetan Dube, former founder & CEO of Amelia The Role As a Customer Service Representative working in tandem with our Agentic AI, you’ll step in when the AI is unable to fully resolve a customer query on behalf of one of our enterprise clients. You’ll not only provide a human touch to resolve the customer’s issue – but also investigate what went wrong, working alongside engineers and product teams to improve the AI’s performance. This is an ideal role for someone in customer support looking to break into the world of AI and tech. No real prior experience is required – we’re just looking for someone with the right attitude. Full training provided. What You’ll Do • Take over live chats, calls, or tickets escalated by our Agentic AI for one of our clients (e.g., in banking, energy, insurance, or telco), • Calm and resolve customer frustrations when the AI couldn’t resolve their problem, • Troubleshoot why the AI failed (e.g., gaps in logic, language understanding, integrations), • Conduct light QA and error analysis across transcripts and system logs, • Collaborate with product managers and engineers to improve AI flows, • Participate in project management cycles for continuous iteration and model training, • Learn the ins and outs of agentic systems, prompt design, and conversational logic, • Help shape a brand new category of support – Human-AI collaboration What We're Looking For 1. 1+ years experience in customer service (live chat, phone, or email-based) is great – but not required, 2. Excellent written and verbal communication, 3. Ability to empathize with frustrated customers and stay calm under pressure, 4. Strong problem-solving mindset and curiosity – especially around how things work, 5. Comfortable working with technical teams (no coding required – training provided), 6. Highly organized, proactive, and detail-oriented, 7. Eagerness to learn AI technologies, tools, and workflows Nice to Have (But Not Required) Why This Role Matters This is not a traditional customer service role. You’ll be the human failsafe for some of the world’s most advanced enterprise AI systems – and the bridge between customers and technology. Your feedback will shape how millions of future interactions are handled.

Sales Specialist-Electronics

Job Summary: We are seeking an experienced and driven Sales Specialist to join our growing team in the UK market. The ideal candidate will have a deep understanding of the electronics sector and proven experience in B2B/B2C sales, customer relationship management, and market expansion. Key Responsibilities: • Identify, develop, and close sales opportunities within the electronics market across the UK., • Build and maintain strong relationships with existing and potential clients (retailers, wholesalers, distributors, OEMs)., • Promote and present electronic product solutions to meet customer needs., • Collaborate with product and marketing teams to tailor offerings based on market demands., • Attend trade shows, expos, and networking events to build brand presence., • Achieve monthly, quarterly, and annual sales targets and KPIs., • Monitor market trends, competitor activity, and customer feedback to drive continuous improvement., • Prepare and submit regular reports on sales performance and forecasts. Requirements: • Bachelor’s degree in Business, Electronics, Engineering, or a related field., • Minimum 3–5 years of sales experience in the electronics or technology sector., • Strong understanding of UK electronics market and distribution channels., • Excellent communication, negotiation, and interpersonal skills., • Self-motivated with a results-driven approach., • Proficiency in CRM tools and Microsoft Office Suite., • Willingness to travel across the UK as required. Preferred Qualifications: • Experience selling consumer electronics, semiconductors, or industrial electronic components., • Existing client portfolio or contacts within the UK electronics industry.

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Production engineer jobs in United Kingdom

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